introduction: the role of serotonergic fibers in avoidance learning is controversial. involvement of the dorsal raphe nucleus (drn), the main source of hippocampal projecting serotonergic fibers in acquisition, consolidation and retrieval of passive avoidance (pa) learning, was investigated by functional suppression of this area. materials and methods: drn functional inactivation was done by li...

image retrieval is an important research field which has received great attention in the last decades. in this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. for text-based features, keywords and for content-based features, color and texture features have been used. query in this system contains some keywords and an input...

Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...

Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...

Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

This study compares lexical retrieval amongst monolinguals and intermediate bilinguals and advanced bilinguals. It also investigates the possible effects of their language learning strategies on their respective lexical retrieval advantage. The study used a mixed methods design and the groups consisted of 20 Persian near-monolinguals, 20 Persian-English intermediate level bilinguals, and 20 Per...